VP, Data Science Engineer, Group Asset Management - Business Technology
Posting Date: 18 Mar 2025
Location: Raffles (City Area), SG, 048624
Company: UOB Asset Management Ltd
United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices.
Our history spans more than 80 years, guided by our values – Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success.
About the Department
Established in 1986, UOB Asset Management (UOBAM) is a wholly owned subsidiary of United Overseas Bank. Headquartered in Singapore, UOBAM has grown extensively across Asia with local presence in Brunei, Indonesia, Japan, Malaysia, Taiwan, Thailand and Vietnam. Our network includes UOB Islamic Asset Management in Malaysia and a joint venture with China’s Ping An Trust to form Ping An Fund Management Company.
Our experienced team of more than 90 investment professionals conduct rigorous fundamental research within a proven investment framework to provide our clients with innovative investment solutions. The strength of our team lies in our commitment to investment excellence.
Job Responsibilities
* Develop and maintain infrastructure for enterprise data platforms and machine learning.
* Data Platform Development & Management:
o Design, develop, and maintain data platforms that support large-scale data ingestion, storage, and processing using cloud-based data infrastructure.
o Implement and manage data warehousing and centralized data solutions tailored for asset management.
o Ensure data platform scalability, reliability, and security in accordance with financial regulators and policies.
o Evaluate and integrate new data technologies and tools to enhance data platform capabilities.
* Build and maintain robust and efficient data pipelines for data ingestion, processing, and transformation.
* Develop and implement data quality checks and validation processes to ensure data accuracy, timeliness, and consistency.
* Utilize ETL/ELT tools and techniques to transform and load data into target systems.
* Implement and enforce data security best practices including access control, encryption, and data masking.
* Maintain data catalogue for all data assets, and metadata lineage.
* Employ exceptional problem-solving skills, with the ability to see and solve issues before they snowball into problems.
* Learn and share knowledge and experience in a multi-disciplinary team.
Job Requirements
* Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
* At least 10 years of experience in data modelling, engineering, machine learning engineering, or a related role in a production environment.
* Highly proficient in Python and SQL. Experience with other programming languages (e.g., Java, Scala, C++) is a plus.
* Experience in best practices such as DevOps, DataOps and MLOps.
* Experience with big data technologies and cloud platforms such as BigQuery, Kafka, GCP, AWS and their data engineering and machine learning products and services.
* Strong understanding of software development best practices, including version control (Git), testing, and CI/CD.
* Excellent communication and organizational skills, and the ability to stay focused on completing tasks and meeting goals within a busy workspace.
* Skilled at working in tandem with a team of engineers, or alone as required.
* Strong troubleshooting and analytical skills.
* Cloud and data certifications are a plus.
Be a part of UOB Family
UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.
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